Abstract. A simple step-stress accelerated life testing plan is considered when the failure times in each level of stress are geometrically distributed under Type-I censoring. The problem of choosing the optimal plan is investigated using the asymptotic variance-optimality as well as determinant-optimality and probability-optimality criteria. To illustrate the results of the paper, an example i...

in zero acceptance number sampling plans, the sample items of an incoming lot are inspected one by one. the proposed method in this research follows these rules: if the number of nonconforming items in the first sample is equal to zero, the lot is accepted but if the number of nonconforming items is equal to one, then second sample is taken and the policy of zero acceptance number would be appl...

We present a method to include robustness in a multi-criteria optimization (MCO) framework for intensity-modulated proton therapy (IMPT). The approach allows one to simultaneously explore the trade-off between different objectives as well as the trade-off between robustness and nominal plan quality. In MCO, a database of plans each emphasizing different treatment planning objectives, is pre-com...

Cost-based query optimizer chooses the most efficient execution plan for a given query using a cost model. The latter relies on the accuracy of estimated statistics. These estimates often differ significantly from those encountered during query execution, leading to poor plan choices. In this document, we present a method to query processing that is fully aware of estimation inaccuracies. This ...

Temporal uncertainty is a basic feature in many real scheduling and planning problems. How to achieve a robust schedule or plan which can deal with the temporal uncertainty is a useful issue in real problems. Current research on this issue has introduced different robustness measures. Although they all reflect the quality of temporal schedules or plans in different perspectives, the lack of res...

A method for robustness optimization of flexible manufacturing systems is presented which undergo forecasted product plan variations. A configuration of an FMS is modeled by a colored Petri net and the associated transition firing sequence. The robustness optimization of the colored Petri net model is formulated as a multi-objective optimization problem which minimizes production costs under mu...

Classical planning domain representations assume all the objects from one type are exactly the same. But when solving problems in the real world systems, the execution of a plan that theoretically solves a problem, can fail because of not properly capturing the special features of an object in the initial representation. We propose to capture this uncertainty about the world with an architectur...